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complexes, and cells. Candidates developing or incorporating predictive computational methods (LLMs and AI) to gain mechanistic insight into structure and mechanisms will also be considered. For both
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CV should include specific examples. We encourage applications from candidates working across disciplines that might use public history methods, including but not limited to Art History, English
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training sessions to support knowledge transfer and process adoption. Exceptional time management and organizational abilities. Able to manage multiple projects, priorities, and deadlines in high-pressure
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, and research skills Good scientific and numerical skills with meticulous attention to details and accuracy Ability to work in a team environment, to participate actively, to collaborate and to motivate
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legacies of higher education that continue to affect our present, particularly within the context of Texas. Through complementary approaches grounded in humanistic research methods and critical creative
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education and/or affiliated institutions, prior experience in program building, and publicly engaged humanities work. We encourage applicants with an interest in questions at the intersection
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analyzing experiments on both test and preparatory scales; optimizing reaction conditions via experimental variable screens; characterizing small molecules via NMR, FTIR, and other spectroscopic methods Solid
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professionally Basic computer knowledge Commercial bus driving skills Ability to work with diverse individuals and provide relevant information Preferences: High school diploma or equivalent Six months of related
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Description The Department of Statistics at Rice University in the George R. Brown School of Engineering and Computing, located in the heart of Houston, TX, invites applications for one faculty position
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growth through a variety of educational and professional strategies Maintain accurate records of assigned sponsored program activities Rice University HR | Benefits: https://knowledgecafe.rice.edu/benefits